Curvature-driven volumetric segmentation of binary shapes: An application to snow microstructure analysis

Many three-dimensional (3-D) image-based studies concerning granular and sintered materials require a description of the observed microstructures in terms of individual grains. We propose a robust segmentation algorithm which identify groove regions on the object´s surface in order to locate possible grain boundaries in the object´s volume. The algorithm relies on the volumetric propagation via Voronoi labeling of curvature information from the surface into the object¹.